Correlation Analysis Of Parameters Research Articles

The Relationship Between Cyberchondria and Health Anxiety in Pregnant Women

Pregnant women frequently use the internet to obtain health information about pregnancy. The increased anxiety about health during pregnancy can trigger the cyberchondria form of this behavior. This study aimed to investigate cyberchondria and health anxiety in pregnant women. The descriptive and cross-sectional study was conducted with 314 pregnant women who visited the obstetrics clinics of two hospitals in western Turkey between October and December 2019. The Cyberchondria Severity Scale (CSS-15) and the Short Health Anxiety Inventory (SHAI) were used for data collection. Data were evaluated with parametric tests and correlation analysis. The mean age of pregnant women participating in the study was 28.10 ± 5.19, and 72.6% were unemployed. The CSS-15 mean score was 39.87 ± 8.82, and SHAI was 15.81 ± 6.84. The nulliparous pregnant women, employed university graduates, used the internet almost every day and searched some topics related to pregnancy, birth, and breastfeeding and were found to have higher scores on CSS-15 (p < 0.05). A significant positive correlation was found between cyberchondria and health anxiety (r: 0.253, p < 0.001). This study showed that cyberchondria severity increases anxiety in pregnant women. Health professionals should also consider cyberchondria when assessing the anxiety of pregnant women.

Assessing the Physicochemical and Microbiological Condition of Surface Waters in Urabá-Colombia: Impact of Human Activities and Agro-Industry

Water resources in the Urabá region of Colombia, one of the most significant banana-producing areas for global consumption, are confronted with substantial challenges due to agro-industrial activities, population growth, untreated wastewater discharge, and excessive groundwater usage. This study aims to comprehensively evaluate the physicochemical and microbiological characteristics of surface waters in Urabá, delving into the influence of agro-industrial activities and human interventions on water quality. The evaluation includes a correlation analysis of multiple water quality parameters measured in ten significant rivers of the region. The findings reveal overall water pollution, potentially associated with the lack of wastewater treatment systems in nearby communities and indicate potential seawater intrusion due to groundwater overexploitation from human and agricultural activities. Among the studied rivers, the Apartadó River exhibits the poorest water quality, while the León River demonstrates better conditions, benefiting from less human interference and natural ecosystems.

The structural characterization of a novel Chinese yam polysaccharide and its hypolipidemic activity in HFD-induced obese C57BL/6J mice

Obesity was considered as a rapidly growing chronic disease that influences human health worldwide. In this study, we investigated the primary structure characteristics of Chinese yam polysaccharide (CYP) and its role in regulating lipid metabolism in a high-fat diet (HFD)-fed obese mice. The molecular weight of CYP was determined to be 3.16 × 103 kDa. Periodic acid oxidation & smith degradation and nuclear magnetic resonance results suggested that CYP consists of 1 → 2, 1 → 2, 6, 1 → 4, 1 → 4, 6, 1→, or 1 → 6 glycoside bonds. The in vivo experiment results suggested that the biochemical indices, tissue sections, and protein regulation associated with lipid metabolism were changed after administering CYP in obese mice. In addition, the abundances of short-chain fatty acid (SCFA)-producing bacteria Lachnospiraceae, Lachnospiraceae_NK4A136_group, and Ruminococcaceae_UCG-014 were increased, and the abundances of bacteria Desulfovibrionaceae and Ruminococcus and metabolites of arginine, propionylcarnitine, and alloisoleucine were decreased after CYP intervention in obese mice. Spearman's correlation analysis of intestinal flora, metabolites, and lipid metabolism parameters showed that CYP may affect lipid metabolism in obese mice by regulating the intestinal environment. Therefore, CYP may be used as a promising nutritional intervention agent for lipid metabolism.

The association of islet autoantibodies with the neural retinal thickness and microcirculation in type 1 diabetes mellitus with no clinical evidence of diabetic retinopathy.

To examine the association between islet autoantibodies (IAbs) and the retinal neurovascular changes in type 1 diabetes mellitus (T1DM) with no diabetic retinopathy (NDR). This cross-sectional study measured the neural retinal structure and microvascular density of 118 NDR eyes using spectral-domain optical coherence tomography angiography. Retinal structure parameters included retinal thickness (RT), inner retinal thickness (iRT), retina never fibral layer thickness (RNFL thickness), ganglion cell complex thickness (GCC thickness), and loss volume of GCC. Microvascular parameters included vessel density of superficial capillary plexus (sVD), vessel density of deep capillary plexus, and vessel density of choroid capillary plexus. Comparison and correlation analyses of these OCTA parameters were made with various IAbs, including glutamic acid decarboxylase antibody (GADA), tyrosine phosphatase-related islet antigen 2 antibody (IA2A), and zinc transporter 8 antibody (ZnT8A). A general linear model was used to understand the association of IAbs with the retina parameters. The IAb positive (IAbs +) group, which included 85 patients, had thinner RT (235.20 ± 18.10mm vs. 244.40 ± 19.90mm at fovea, P = 0.021) and thinner iRT (120.10 ± 9.00mm vs. 124.70 ± 6.90mm at parafovea, P = 0.015), compared with the IAb negative (IAbs-) group comprising 33 patients. Furthermore, a more severe reduction of RT was demonstrated in the presence of multiple IAbs. Among the three IAbs, GADA was the most significant independent risk factor of all-round RT decrease (β = -0.20 vs. -0.27 at fovea and parafovea, respectively, P < 0.05), while titers of IA2A negatively affect sVD in the parafovea (β = -0.316, P = 0.003). IAbs are associated with neural retinal thinning and microcirculation reduction in T1DM patients before the clinical onset of diabetic retinopathy.

Could colour and volatile compounds be measurements of oxidation in horse meat?

Predicting and, consequently, controlling oxidative phenomena is a big challenge for meat industry. Since color modifications and volatile compounds synthesis are processes closely linked to the oxidative reactions occurring in meat, oxidation could be measured through colorimetric parameters or some volatile compounds. A Spearman’s correlation analysis of oxidative parameters and enzymatic activity with colorimetric parameters and volatile profile was performed on horse steaks subjected to short (14 days) and long aging time (56 days). In long aging, TBARS were negatively correlated with redness (rs = -0.76, p &lt; 0.001). Some volatile compound families, such as thiols, carboxylic acids, lactones, hydrocarbons and sulphur compounds, were well correlated with enzymatic activity (p &lt; 0.001), contrary to aldehydes, alcohols and ketones. Higher correlation indexes were recorded in short aging, if compared to those found in long aging.

Linear correlation and regression analysis of tap water quality parameters in rural area of Malwa Punjab

Linear correlation and regression analysis of tap water quality parameters in rural area of Malwa Punjab

Cortical Sulcal Abnormalities Revealed by Sulcal Morphometry in Patients with Chronic and Episodic Migraine.

Previous studies have reported mixed results regarding the importance of cortical abnormalities in patients with migraines. However, cortical sulci, as a component of the cerebral cortex, have not been specifically investigated in migraine patients. Therefore, we aim to evaluate alterations in cortical sulcal morphology among patients with chronic migraine (CM), episodic migraine (EM), and healthy controls (HCs). In this cross-sectional study, structural magnetic resonance images were acquired from 35 patients with CM, 35 with EM, and 35 HCs. Cortical sulci were identified and reconstructed using the BrainVisa 5.0.4 software. We focused on regions involved in pain processing in which abnormal cortical structure were identified in previous neuroimaging studies. Morphometric analysis was performed to calculate sulcal parameters including mean depth, cortical thickness, and opening width. Partial correlation analyses of clinical characteristics and sulcal parameters were performed for CM, EM and the combined migraine (CM + EM) groups. In comparison with HCs, both CM and EM groups showed increased opening width in bilateral insula. In comparison with HC and EM groups, CM patients showed increased cortical thickness in bilateral superior postcentral sulcus, bilateral median frontal sulcus and left superior parietal sulcus, as well as increased mean depth in the left anterior callosomarginal fissure and decreased mean depth in bilateral superior frontal sulcus and left median frontal sulcus. Migraine frequency and disease duration were both correlated with cortical thickness in bilateral superior postcentral sulcus. Abnormal sulcal morphometry primarily affected areas associated with pain processing in patients with migraine, with CM exhibiting more extensive abnormalities in areas related to sensory and affective processing. These changes may contribute to understanding the pathology of EM and CM.

Correlation analysis of surgical outcomes and spino-pelvic parameters in patients with degenerative lumbar scoliosis.

The study aims to analyze factors that affect the postoperative health-related quality of life (HRQOL) of degenerative lumbar scoliosis (DLS) patients and explore the appropriate pelvic incidence minus lumbar lordosis (PI-LL) value for Chinese DLS patients. DLS patients who met the inclusion and exclusion criteria were included in this study. General information, spino-pelvic parameters, and HRQOL were collected. Correlation analysis was used to explore the spino-pelvic parameters that affect the postoperative HRQOL. Thresholds of each parameter were obtained using the receiver operating characteristic (ROC) curve. Regardless of the effect of age, DLS patients were classified into three groups according to the SRS-Schwab classification: group 0 means PI-LL < 10°, group+means PI-LL = 10-20°, and group ++ means PI-LL > 20°. Postoperative HRQOL was analyzed using variance methods. The ROC curve was used to measure the appropriate PI-LL threshold. When considering the effect of age, the patients with Oswestry Disability Index (ODI) < 75% percentile were considered to have a satisfactory clinical outcome, which was drawn to an equation between PI-LL, age, and PI by multiple linear regression equation. A total of 71 patients were included. Compared with the control group, there were significant differences in both postoperative ODI and Scoliosis Research Society 22 (SRS-22) scores when the postoperative Cobb angle ≤11°, postoperative lumbar lordosis index (LLI) > 0.8, postoperative sagittal vertical axis (SVA) ≤ 5 cm, postoperative T1 pelvic angle (TPA) ≤ 16° and postoperative global tilt (GT) ≤ 22°, respectively. Regardless of the effect of age, there was a statistical difference in postoperative HRQOL between group 0 and group ++. The PI-LL threshold derived from the ROC curve was 14.4°. Compared with the PI-LL > 14° group, the PI-LL ≤ 14° group achieved a lower postoperative ODI score and a higher postoperative SRS-22 score. Considering the influence of age, the equation for ideal PI-LL was PI-LL = 0.52age + 0.38PI-39.4 (R = 0.509, p = 0.001). PI-LL was an important parameter that affects the postoperative HRQOL of DLS patients. Sufficient LL should be restored during the operation (LL ≥ PI-14°). The appropriate PI-LL value was affected by age. Smaller LL needed to be restored as the age increased.

Entalpia como índice de conforto térmico na produção de frango de corte

ABSTRACT Enthalpy is currently suggested as a suitable index for assessing the internal environment of poultry production, primarily dependents on air temperature and relative air humidity. This study aimed to analyze enthalpy in bird production in Londrina, located in the northern region of Paraná, Brazil, and to model the comfort enthalpy required for enhanced production efficiency. Data from 1961 to 2021 from the Instituto Nacional de Meteorologia (INMET), Brasília, Federal District, Brazil, were utilized to compare the thermal comfort conditions and critical limits set for the birds. The meteorological data from this period were scrutinized to understand their variations and interrelationship through a descriptive study and correlation analysis of different parameters. The research findings, based on the enthalpy indices derive historical averages, suggest that heating is crucial for birds during the first and second weeks of housing, during the winter, given the location’s low temperatures. For birds housed during the third to sixth weeks of age, the enthalpy indices indicated the necessity of cooling systems.

Integrated correlation analysis of the thickness of buccal bone and gingiva of maxillary incisors.

This study aimed to validate the integrated correlation between the buccal bone and gingival thickness of the anterior maxilla, and to gain insight into the reference plane selection when measuring these two tissues before treatment with implants. Cone beam computed tomography (CBCT) and model scans of 350 human subjects were registered in the coDiagnostiX software to obtain sagittal maxillary incisor sections. The buccal bone thickness was measured at the coronal (2, 4, and 6 mm apical to the cementoenamel junction [CEJ]) and apical (0, 2, and 4 mm coronal to the apex plane) regions. The buccal gingival thickness was measured at the supra-CEJ (0, 1mm coronal to the CEJ) and sub-CEJ regions (1, 2, 4, and 6 mm apical to the CEJ). Canonical correlation analysis was performed for intergroup correlation analysis and investigation of key parameters. The mean thicknesses of the buccal bone and gingiva at different levels were 0.64~1.88 mm and 0.66~1.37 mm, respectively. There was a strong intergroup canonical correlation between the thickness of the buccal bone and that of the gingiva (r=0.837). The thickness of the buccal bone and gingiva at 2 mm apical to the CEJ are the most important indices with the highest canonical correlation coefficient and loadings. The most and least prevalent subgroups were the thin bone and thick gingiva group (accounting for 47.6%) and the thick bone and thick gingiva group (accounting for 8.6%). Within the limitations of this retrospective study, the thickness of the buccal bone is significantly correlated with that of the buccal gingiva, and the 2 mm region apical to the CEJ is a vital plane for quantifying the thickness of these two tissues.

An elaboration on sample size determination for correlations based on effect sizes and confidence interval width: a guide for researchers.

This paper aims to serve as a useful guide for sample size determination for various correlation analyses that are based on effect sizes and confidence interval width. Sample size determinations are calculated for Pearson's correlation, Spearman's rank correlation, and Kendall's Tau-b correlation. Examples of sample size statements and their justification are also included. Using the same effect sizes, there are differences between the sample size determination of the 3 statistical tests. Based on an empirical calculation, a minimum sample size of 149 is usually adequate for performing both parametric and non-parametric correlation analysis to determine at least a moderate to an excellent degree of correlation with acceptable confidence interval width. Determining data assumption(s) is one of the challenges to offering a valid technique to estimate the required sample size for correlation analyses. Sample size tables are provided and these will help researchers to estimate a minimum sample size requirement based on correlation analyses.

Genetic variability and correlation studies on seed yield and yield components in advanced breeding lines of mungbean [Vigna radiata (L.) Wilczek.

The present investigation was undertaken to evaluate eighteen diverse mungbean [Vigna radiata (L.) Wilkeezek] advanced breeding lines developed at AICRP on MULLaRP for the estimation of genetic variability, heritability and genetic advance, correlation coefficient for eleven quantitative traits and their association level with seed yield. The genotypes differed significantly for all characters under study. High genotypic and phenotypic coefficient of variation was observed for seed yield, number of pods per plant, branches per plant and clusters per plant. Association analysis indicated that, number of branches per plant, number of clusters per plant, number of pods per plant and chlorophyll content had positive correlation with seed yield. Maximum direct effect on seed yield was observed through number of branches per plant, the number of clusters per plant and dry matter. From the present findings it could be suggested that on the basis of genetic parameter correlation and path analysis, number of branches per plant, number of clusters per plant and number of pods per plant should be given topmost priority while formulating a selection strategy for improvement in seed yield of mungbean.

Effects of the Ripening Time of Porcelain Banana (Musa spp. Abb cv. Pisang awak) on the total Polyphenol Contents and Bioactivities

To investigate the influence of the banana ripening stage on the change in the content of bioactive components and their bioactivities, ripening stages of porcelain banana peels were screened for the total phenolic content (TPC) and antioxidant activities using three methods, including DPPH scavenging assay, ferric reducing/antioxidant power (FRAP) assay, and inhibition of polyphenol oxidase activity (PPO assay). The Pearson correlation analysis of antioxidant parameters of banana peel extracts for each ripening stages with TPC data showed that the TPC values in the sample extracts were strongly negatively correlated with the IC50 values of the DPPH assay (r = -0.905). They positively correlated with the Fe3+ reduction capacity of Fe2+ (r = 0.723) and the ability to inhibit PPO enzyme at a concentration extract of 100 µg/mL (r = 0.786). During the ripening of bananas, the TPC at stage 1 (M1, light green, 228 mg GAE/100 g DW) was highest, and decreased to a minimum at stage 4 (M4, yellow color, accounts for 50% to 85% of the total banana peel surface area), and increase in stage 6 (M6, yellow color and appearance of black points, 199.9 mg GAE/100 g DW). The banana peel extract in stage 6 showed intense activities, having the highest extraction yield (15.18%) and was analyzed chemical constituents by HPLC-MS, which showed that it contains valuable group compounds such as phenolic acids, flavonols, flavan-3-ols, catecholamines, lignans, and antibacterial compounds. This shows the potential of using banana peels to prepare polyphenol extracts containing high antioxidant activities, enhancing the use value of bananas.

Unveiling the Nexus of Cervical Proprioception, Postural Stability, and Impeding Factors in Cervical Spondylosis: Insights from Reposition Errors, Limits of Stability, and Mediation Analysis

Cervical proprioception and postural stability play crucial roles in maintaining optimal head and neck positioning, yet their relationship and implications in cervical spondylosis (CS) remain underexplored. This study aims to investigate cervical proprioceptive reposition errors, limits of stability, and their association in individuals with CS while considering the mediating effects of pain and kinesiophobia. The primary objectives are to compare cervical proprioceptive reposition errors and limits of stability variables between individuals with CS and age-matched healthy controls, explore their associations within the CS group, and determine the mediating roles of pain and kinesiophobia. A cross-sectional study recruited 60 individuals with CS and 60 healthy controls. Cervical joint reposition errors (JREs) were assessed using a cervical range-of-motion device, while limits of stability were evaluated using a computerized dynamic posturography system. Pain, kinesiophobia, and demographic data were collected. Parametric tests, correlation analyses, and multiple regression were employed for data analysis. Individuals with CS exhibited significantly higher cervical JREs in flexion, extension, and rotation compared with healthy controls (p &lt; 0.001). Within the CS group, correlations revealed associations between JREs and limits-of-stability variables (p &lt; 0.05). Mediation analysis demonstrated significant direct and indirect effects of pain and kinesiophobia on the relationship between JREs and limits-of-stability variables in the CS group (p &lt; 0.005). CS is associated with impaired cervical proprioception, increased reposition errors, and compromised postural stability. This study highlights the interplay between proprioception, stability, pain, and psychological factors, emphasizing the need for comprehensive interventions in individuals with CS to enhance functional outcomes and quality of life.

Correlation analysis of central arterial pressure parameters and the severity of atherosclerotic lesions in coronary arteries: A retrospective study.

To investigate the correlation between central arterial pressure (CAP) parameters and the severity of atherosclerotic lesions in the coronary arteries, understand the value of CAP in assessing the risk of coronary heart disease (CHD), and provide a theoretical basis for the prevention and treatment of CHD. Between January 2021 and January 2022, 224 patients admitted to our hospital for complete coronary angiography (CAG) were included in this retrospective study. CAP parameters, including central systolic pressure (CSP), diastolic pressure (CDP), and pulse pressure (CPP), and Gensini scores were collected; the association between CAP parameters and the severity of coronary lesions was analyzed using the Pearson correlation coefficient (r) and multivariate regression analysis. CPP was significantly higher in the coronary multi-branch lesion group than in the single-branch lesion group in patients with CHD (P < .05). CSP, CDP, and CPP were significantly higher in the high Gensini score group than in the low Gensini score group for coronary vascular lesions; furthermore, CSP and CPP were significantly higher in the high Gensini score group than in the medium Gensini score group (P < .05). Pearson correlation analysis showed that CSP and CPP were positively and CDP was negatively correlated with the severity of coronary artery lesions in patients with CHD (P < .05). Logistic regression analysis showed that a history of diabetes, CSP, CDP, and CPP were independent risk factors for severe atherosclerotic lesions in the coronary arteries (P < .05). noninvasive CAP-related indices, such as CSP, CDP, and CPP, are independently correlated with and can be used to predict the severity of coronary lesions in patients with CHD, which may be beneficial for guiding clinical diagnosis and treatment.

Cuproptosis-related lncRNA scoring system to predict the clinical outcome and immune landscape in pancreatic adenocarcinoma

Cuproptosis is a recently discovered novel programmed cell death pathway that differs from traditional programmed cell death and has an important role in cancer and immune regulation. Long noncoding RNA (lncRNA) is considered new potential prognostic biomarkers in pancreatic adenocarcinoma (PAAD). However, the prognostic role and immune landscape of cuproptosis-related lncRNA in PAAD remain unclear. The transcriptome and clinical data of PAAD were obtained from The Cancer Genome Atlas (TCGA) database. Cuproptosis-related lncRNA was identified using Pearson correlation analysis. The optimal lncRNA was screened by Cox and the Least Absolute Shrinkage and Selection Operator (LASSO) regression mode, and for the construction of risk scoring system. PAAD patients were divided into high- and low-risk groups according to the risk score. Clinicopathological parameter correlation analysis, univariate and multivariate Cox regression, time-dependent receiver operating characteristic (ROC) curves, and nomogram were performed to evaluate the model. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to explore differences in biological function between different risk groups. Single-sample gene set enrichment analysis (ssGSEA) and Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm were used to analyze the differences in tumor immune microenvironment (TIME) in different risk groups of PAAD. Additionally, the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm was used to predict immunotherapy response and identify potential immune beneficiaries. Immune checkpoints and tumor mutation burden (TMB) were also systematically analyzed. Finally, drug sensitivity analysis was used to explore the reactivity of different drugs in high- and low-risk groups to provide a reference for the selection of precise therapeutic drugs. Six cuproptosis-related lncRNAs (AL117335.1, AC044849.1, AL358944.1, ZNF236-DT, Z97832.2, and CASC8) were used to construct risk model. Survival analysis showed that overall survival and progression-free survival in the low-risk group were better than those in the high-risk group, and it is suitable for PAAD patients with different clinical characteristics. Univariate and multifactorial Cox regression analysis showed that risk score was an independent prognostic factor in PAAD patients. ROC analysis showed that the AUC values of the risk score in 1 year, 3 years and 5 years were 0.707,0.762 and 0.880, respectively. Nomogram showed that the total points of PAAD patients at 1 year, 3 years, and 5 years were 0.914,0.648, and 0.543. GO and KEGG analyses indicated that the differential genes in the high- and low-risk groups were associated with tumor proliferation and metastasis and immune regulatory pathway. Immune correlation analysis showed that the amount of pro-inflammatory cells, including CD8+ T cells, was significantly higher in the low-risk group than in the high-risk group, and the expression of immune checkpoint genes, including PD-1 and CTLA-4, was increased in the low-risk group. TIDE analysis suggests that patients in the low-risk group may benefit from immunotherapy. Finally, there was significant variability in multiple chemotherapeutic and targeted drugs across the risk groups, which informs our clinical drug selection. Our cuproptosis-related lncRNA scoring system (CRLss) could predict the clinical outcome and immune landscape of PAAD patients, identify the potential beneficiaries of immunotherapy, and provide a reference for precise therapeutic drug selection.

Heavy metal contamination in Shanghai agricultural soil

As heavy metals in soil could enrich in biomass and pose health risk to human, it is vital to monitor their contaminations to ensure qualified agricultural production. In this study, we collected >4000 soil samples from agricultural fields in Shanghai during 2010∼2020, and unveiled heavy metal contamination status in this metropolitan. We found that although Shanghai has a long industrialization history, the heavy metal levels in agricultural soil are within safe ranges according to national standard. Specifically, the median levels of Cd, Hg, As, Pb, Cr and Cu are 0.11, 0.13, 7.47, 23.80, 41.00 and 28.30 mg/kg, respectively, which are as good as, or even better than national averages. However, there are spatial and temporal heterogeneities for heavy metal contaminations in Shanghai. For example, the levels of Cd, Hg and Cr are relatively higher in some districts with high industry density, which should be further monitored in the future. Moreover, while the levels for Cd, Cr and Pb have decreased, the level for Hg has mildly increased during this period which needs counteractive measures. Correlation analysis of heavy metal levels and soil fertility parameters suggested overuse of fertilizers may be related to heavy metal contamination in some regions. In summary, our study present by far the largest and most comprehensive landscape of heavy metal contamination in Shanghai agricultural soil, which will be useful for future policy-design and land use planning to ensure safe agricultural production.

Correlation analysis of building parameters according to ASHRAE Standard 90.1

Building energy codes promote efficient energy management in both conventional and eco-friendly buildings. These codes are periodically updated to reduce energy consumption and carbon emissions. However, these updates can induce correlations among building parameters, which could lead to incorrect results when creating or analyzing data sets based on them. This study aims to investigate the impact of correlations in building parameters caused by the trend of updates in building energy codes. The most widely used building energy standard, namely Standard 90.1 of the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE), is utilized to understand the trends of energy codes. We confirm that periodic updates to ASHRAE Standard 90.1, representative of numerous energy standards and codes, induce correlations in the input parameters. Moreover, we analyze the problems caused by these correlations through sensitivity analysis and Principal Component Analysis (PCA). Consequently, the sensitivity index of parameters with correlations increases while the importance of parameters without correlations decreases. In the PCA, the number of parameters required to explain more than 95 % of the variance in the raw data changed. This study's findings highlight the need to carefully consider correlations when analyzing building energy code-impacted data and provide insight that enhances the accuracy of the interpreting parameter relation in such data analysis.

Effects of charge-assisted hydrogen bond on sorption and co-sorption of pharmaceutical contaminants on carbonaceous materials: Spectroscopic and theoretical studies

Charge-assisted hydrogen bond (CAHB) is a key mechanism that affects the environmental behavior of pharmaceutical pollutants (PCs). However, the strength and stability of various CAHBs, and their effects on the co-sorption behavior of PCs are still unclear. Herein, DFT calculation with different solvent models including two implicit solvent model (PCM and SMD), and one explicit solvent model (ESM) were applied in this study, to investigate the effects of different CAHBs on the sorption and co-sorption behavior of four PCs (e.g., clofibric acid, p-aminobenzoic acid, acetaminophen, and sulfamerazine) on three model carbonaceous materials. First, the appearance of new peaks in the very low field of 1H NMR, and the blue shift of OH and NH2 peaks in FTIR indicated that CAHBs were indeed formed between PCs and carbonaceous materials. Next, according to the principal component analysis and correlation analysis of parameters (e.g., ΔEads, bond length, bond angle, Egap, and ΔG) of these CAHBs calculated by the DFT with different solvent models, the results showed that SMD is the optimal model for calculating the strength and stability of CAHBs by DFT, and the strength and stability of CAHBs formed between PCs and carbonaceous materials in this study were in the order of homonuclear [O⋯H⋯O]− CAHB > heteronuclear [O⋯HN]−/[N⋯HO]+ type of CAHB > homonuclear [N⋯H⋯N]+. Also, the co-sorption behavior of different PCs co-existing in binary systems further confirmed that, all above types of CAHBs formed between PCs and carbonaceous materials can produce obvious competition effect on the co-existing PCs that only OHB formed between them. This study not only reveals the environmental behavior of co-existing PCs, but also provides a theoretical basis for the design of obligate sorption materials for PCs in the natural environment.

A correlational study of uranium in groundwater with other physicochemical parameters using GIS mapping in Godda district of Jharkhand, India.

The present research concentrates on the cumulative use of GPS and GIS technologies, which are excellent resources for analyzing and monitoring divergent physicochemical parameters in groundwater, including pH, TDS, EC, ORP, Ca+2, Mg+2, NO3-, F-, SO4-2, Cl- and PO4-3 with explicit regard to uranium. Garmin GPS is used to record the locations of the sampling points in the Godda study area. The research aims to offer a thorough understanding of the relationship between soil and water, its impact on public health and the extent to which water can be used in various ways based on its quality. Utilizing the inverse distance weighted (IDW) technique, it is examined how these groundwater parameters and the Water Quality Index(WQI) can be estimated spatially. Additionally, a correlation analysis of the water quality parameters is computed to estimate the local population's cancer risk living in the study area. Except for calcium and magnesium, which are present in excess concentrations throughout the study area with the highest values of 325 and 406mg/l, respectively at Amedihaand Meherma, the results showed that the maximum concentration parameters are within limits with the standard. The main reason might be the area's predominance of Alfisol soil type. The radioactive element uranium is found to be in a limited range. Chemo-toxicity and radiological risk assessment of the whole area lie far below the restricted cancer risk limit i.e., 30ppb with the highest concentration of 14ppb in the 'Sunderpahari' region, following the results obtained. The WQIfor the area ranges from 'good' to 'very poor.' The results were favorable but a few sites such as 'Boarijor' and its surroundings, require additional attention to enhance groundwater quality. Given uranium's low availability in groundwater the region's cancer risk assessment is below average.